CN116749343A - Intelligent cement concrete mixing plant quality real-time monitoring system - Google Patents
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28C—PREPARING CLAY; PRODUCING MIXTURES CONTAINING CLAY OR CEMENTITIOUS MATERIAL, e.g. PLASTER
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Abstract
The invention provides an intelligent cement concrete mixing plant quality real-time monitoring system, which relates to the technical field of concrete management and comprises an acquisition center, an analysis center, a multi-source database and an intelligent control center, wherein the acquisition center comprises a sample image acquisition center and an image processing module, and the analysis center comprises a color analysis module, a bubble analysis module, a uniformity analysis module and a comparison module; according to the invention, various parameter data of high-quality and low-quality cement concrete are stored through the multi-source database, color pixel characteristics of the image are analyzed by collecting images of the surface of the paved cement concrete slurry flowing down, bubble images in the image are screened out, diameter values of the bubbles are obtained, whether the sizes of the bubbles are uniform or not is analyzed, the quality is determined by comparing the images with the parameter data of the high-quality cement concrete in the multi-source database, and the quality evaluation is conveniently and rapidly carried out only by shooting the images through a camera in the whole detection process, so that the quality control in real time is facilitated, and convenience is provided for production.
Description
Technical Field
The invention relates to the technical field of concrete management, in particular to an intelligent cement concrete mixing plant quality real-time monitoring system.
Background
Concrete refers to a generic term for engineering composite materials in which aggregate is consolidated into a whole by a cementitious material. The term concrete generally refers to cement as a cementing material, sand and stone as aggregate; cement concrete, also called ordinary concrete, obtained by mixing the cement concrete with water (which can contain additives and admixtures) according to a certain proportion, is widely used as a common material in building traffic, and the quality of the concrete is related to the quality of the building, so that the quality of the concrete must be ensured to be qualified, and how to detect the quality of the concrete mainly comprises the following modes in the prior art: scraping the surface of the concrete by using a knife with harder mass to see the depth of the scratch of the concrete, and if the depth is very deep, indicating that the grade of the concrete is very low; carefully observing the surface of the concrete, if the shelling phenomenon is serious, the quality of the concrete is not up to the standard, and if the shelling is not serious;
the above-mentioned mode is generally all to detect after concrete placement is accomplished the solidification, if detect the quality disqualification, can cause huge loss, so need detect when the thick liquids ejection of compact of stirring station, among the prior art, mainly adopt the following mode: evaluating the cohesiveness, and lightly knocking the side surface of the collapsed concrete mixture cone by using a tamping rod, wherein if the concrete mixture cone keeps wholly slow and uniformly sinking, the cohesiveness is good; if the concrete mixture cone suddenly collapses or stones segregate, the concrete mixture cone shows poor cohesiveness; the water retention is evaluated, and if more dilute cement paste or water is separated out from the bottom of the concrete mixture cone or the materials are exposed due to the slurry loss, the water retention is poor: if no or only a small amount of cement paste is precipitated at the bottom of the concrete mixture cone, the water retention property is good; the slump method is used for measuring the fluidity of the concrete mixture under the action of self gravity, is suitable for the concrete mixture with larger fluidity, and is used for loading the concrete mixture into a concrete slump cylinder according to a specified method in measurement, lifting the slump cylinder vertically upwards after the concrete mixture is scraped, and the concrete mixture generates slump due to the action of self gravity, wherein the slump is the slump with the height mm, and the larger the slump is, the larger the fluidity is; the Vibrio consistency method is used for measuring the fluidity of the concrete mixture under the action of mechanical vibration force, and is used for the concrete mixture with smaller fluidity, when the measurement is carried out, the concrete mixture is filled into a slump cone according to a specified method, the slump cone is lifted vertically, a specified transparent organic glass disc is placed on the top surface of a concrete mixture cone, then a vibration table is started, and the time which is elapsed when the bottom surface of the transparent disc is just full of cement paste, namely the position Vibrio consistency is recorded, and the larger the Vibrio consistency is, the smaller the fluidity is;
the method needs to prepare a specific tool, collect a specific sample, plan a specific detection period, consume a great deal of time to detect, and cannot detect the site in real time, so that a system for rapidly detecting the site in real time is urgently needed to rapidly evaluate the site quality so as to facilitate the real-time control of the quality.
Disclosure of Invention
Aiming at the problems, the invention provides the intelligent cement concrete mixing plant quality real-time monitoring system, which can conveniently and rapidly evaluate the quality by shooting images through a camera in the whole detection process, is beneficial to carrying out quality control in real time and provides convenience for production.
In order to achieve the purpose of the invention, the invention is realized by the following technical scheme: the intelligent cement concrete mixing plant quality real-time monitoring system comprises an acquisition center, an analysis center, a multi-source database and an intelligent control center, wherein the acquisition center comprises a sample image acquisition center and an image processing module, the analysis center comprises a color analysis module, a bubble analysis module, a uniformity analysis module and a comparison module, and the multi-source database comprises various parameter data of high-quality and low-quality cement concrete;
in the process that cement concrete slurry after being stirred in a cement concrete stirring station is discharged and falls into a container, a sample image acquisition center acquires images of the surface of a pavement of the cement concrete slurry flowing down, an image processing module is used for carrying out clear processing on the images, a color analysis module is used for analyzing color pixel characteristics of the images, a bubble analysis module screens out bubble images in the images based on bubble shape frame characteristics in a multi-source database, vectorization measurement is carried out on the bubble images in equal proportion to obtain diameter values of the bubbles, a uniformity analysis module is used for analyzing whether the sizes of the bubbles are uniform or not based on the bubble images analyzed by the bubble analysis module, and a comparison module is used for comparing the analyzed color pixel characteristics, the shape frame characteristics of the bubbles, the diameter values of the bubbles with parameter data of high-quality cement concrete in the multi-source database to determine quality.
The further improvement is that: the acquisition center, the analysis center, the multi-source database and the intelligent control center are all based on Windows systems, and a computer is used as a main control terminal.
The further improvement is that: the sample image acquisition center comprises a camera, a timing acquisition module and a communication transmission module, wherein the camera is positioned on the operation site of the mixing station, the timing acquisition module drives the camera to operate when each batch of mixing is completed to discharge, and the images of the surface of the paved cement concrete slurry flowing down are acquired in the process that the cement concrete slurry after being mixed in the cement concrete mixing station is discharged and falls into a container.
The further improvement is that: the communication transmission module establishes a hub center connected with the network of the main control terminal on site, analyzes, processes and classifies the image data uploaded by the camera, matches with an analysis protocol of the main control terminal, and transmits the image data to the main control terminal.
The further improvement is that: the image processing module comprises a noise reduction module and a definition module, the noise reduction module adopts an airspace pixel characteristic noise reduction algorithm to reduce noise of the three-view image of the instrument, and the definition module increases the definition of the slurry tiled surface image through a frame Deblu GGAN-v 2.
The further improvement is that: the multi-source database comprises various parameter data of high-quality and low-quality cement concrete, and specifically comprises the size and shape frame characteristic models of the colors, big harmful bubbles, middle harmful bubbles, low harmful bubbles and beneficial bubbles of the high-quality and low-quality cement concrete, and the multi-source database is connected with a building material network to obtain the latest data and provide a data retrieval function.
The further improvement is that: the color analysis module extracts color characteristics of the slurry tiled surface image by utilizing an HOG characteristic extraction algorithm, the bubble analysis module comprises a parameter conversion module, a screening module and a measuring module, the parameter conversion module is used for stretching and vectorizing texture areas of the slurry tiled surface image to determine a shape frame of the area, the screening module is used for comparing the shape frame of the area with a shape frame characteristic model of bubbles in a multi-source database, the screening module is used for screening bubble images in the images, and the measuring module is used for carrying out equal proportion adjustment on the bubble images based on reality, then carrying out vectorization measurement and obtaining diameter values of the bubbles.
The further improvement is that: the uniformity analysis module is used for comprehensively counting the diameter values of all bubbles in the image, so that the uniformity of the bubbles is judged according to the size data of different bubbles to reflect the bubble stabilizing effect of the cement concrete.
The further improvement is that: the comparison module comprises a conclusion summarizing module and a report output module, wherein the conclusion summarizing module compares the color characteristics of the slurry tiled surface image with the color parameters of the high-quality and low-quality cement concrete in the multi-source database and judges the quality of the slurry; then comparing the shape frame of the bubble image in the slurry tiled surface image with the shape frame characteristic models of different bubbles in the multi-source database, and judging whether the bubbles on the slurry belong to bubbles with round shapes or abnormal-shaped bubbles; and then comparing the diameter value of the bubble in the slurry tiled surface image with the parameters of the bubble in the multi-source database, determining that the bubble belongs to one of large harmful bubbles, medium harmful bubbles, low harmful bubbles and beneficial bubbles, and generating a real-time monitoring report by a report output module through integrating the data analyzed by the conclusion summarizing module and the uniformity analysis module, and outputting the real-time monitoring report to a main control terminal.
The further improvement is that: the intelligent control center comprises a conclusion receiving module and a flow tracing module, wherein the conclusion receiving module receives the data result of the determined cement concrete quality, and when the quality is determined to be unqualified, the flow tracing module is connected with all equipment operation logs of a cement concrete mixing plant, acquires quality control items and indexes of the mixture in the cement concrete production batch, outputs the quality control items and indexes to the main control terminal and screens the problems.
The beneficial effects of the invention are as follows:
1. according to the invention, various parameter data of high-quality and low-quality cement concrete are stored through the multi-source database, color pixel characteristics of the image are analyzed by collecting images of the surface of the paved cement concrete slurry flowing down, bubble images in the image are screened out, diameter values of the bubbles are obtained, whether the sizes of the bubbles are uniform or not is analyzed, the quality is determined by comparing the images with the parameter data of the high-quality cement concrete in the multi-source database, and the quality evaluation is conveniently and rapidly carried out only by shooting the images through a camera in the whole detection process, so that the quality control in real time is facilitated, and convenience is provided for production.
2. The invention compares the color characteristics of the slurry tiled surface image with the color parameters of high-quality and low-quality cement concrete in the multi-source database, judges the color quality of the slurry, compares the shape frame of the bubble image in the image with the shape frames of different bubbles in the multi-source database, judges whether the bubbles on the slurry belong to bubbles with round or abnormal shapes, compares the diameter value of the bubbles in the image with the parameters of the bubbles in the multi-source database, determines whether the bubbles are big-bubble, medium-bubble, low-bubble and beneficial bubbles, judges the uniformity of the bubbles, and reflects the foam stabilizing effect of the cement concrete, thereby comprehensively judging the quality of the cement concrete, and ensuring that the detection and evaluation are more accurate.
3. When the quality is determined to be unqualified, the invention is connected with all equipment operation logs of the cement concrete mixing plant, obtains quality control items and indexes of the mixture in the cement concrete production batch, and screens the problems more intelligently.
Drawings
FIG. 1 is a diagram showing the constitution of the present invention.
Detailed Description
The present invention will be further described in detail with reference to the following examples, which are only for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Example 1
According to the embodiment shown in fig. 1, an intelligent cement concrete mixing plant quality real-time monitoring system is provided, which comprises a collection center, an analysis center, a multi-source database and an intelligent control center, wherein the collection center comprises a sample image collection center and an image processing module, the analysis center comprises a color analysis module, a bubble analysis module, a uniformity analysis module and a comparison module, and the multi-source database comprises various parameter data of high-quality and low-quality cement concrete;
in the process that cement concrete slurry after being stirred in a cement concrete stirring station is discharged and falls into a container, a sample image acquisition center acquires images of the surface of a pavement of the cement concrete slurry flowing down, an image processing module is used for carrying out clear processing on the images, a color analysis module is used for analyzing color pixel characteristics of the images, a bubble analysis module screens out bubble images in the images based on bubble shape frame characteristics in a multi-source database, vectorization measurement is carried out on the bubble images in equal proportion to obtain diameter values of the bubbles, a uniformity analysis module is used for analyzing whether the sizes of the bubbles are uniform or not based on the bubble images analyzed by the bubble analysis module, and a comparison module is used for comparing the analyzed color pixel characteristics, the shape frame characteristics of the bubbles, the diameter values of the bubbles with parameter data of high-quality cement concrete in the multi-source database to determine quality. According to the invention, various parameter data of high-quality and low-quality cement concrete are stored through the multi-source database, color pixel characteristics of the image are analyzed by collecting images of the surface of the paved cement concrete slurry flowing down, bubble images in the image are screened out, diameter values of the bubbles are obtained, whether the sizes of the bubbles are uniform or not is analyzed, the quality is determined by comparing the images with the parameter data of the high-quality cement concrete in the multi-source database, and the quality evaluation is conveniently and rapidly carried out only by shooting the images through a camera in the whole detection process, so that the quality control in real time is facilitated, and convenience is provided for production.
The acquisition center, the analysis center, the multi-source database and the intelligent control center are all based on Windows systems, and a computer is used as a main control terminal. The main control terminal is provided with a display for displaying monitoring data.
The sample image acquisition center comprises a camera, a timing acquisition module and a communication transmission module, wherein the camera is positioned on the operation site of the mixing station, the timing acquisition module drives the camera to operate when each batch of mixing is completed to discharge, and the images of the surface of the paved cement concrete slurry flowing down are acquired in the process that the cement concrete slurry after being mixed in the cement concrete mixing station is discharged and falls into a container. The communication transmission module establishes a hub center connected with the network of the main control terminal on site, analyzes, processes and classifies the image data uploaded by the camera, matches with an analysis protocol of the main control terminal, and transmits the image data to the main control terminal.
The image processing module comprises a noise reduction module and a definition module, the noise reduction module adopts an airspace pixel characteristic noise reduction algorithm to reduce noise of the three-view image of the instrument, and the definition module increases the definition of the slurry tiled surface image through a frame Deblu GGAN-v 2. The framework Deblurgan-v2 is specifically: the GAN is used for image deblurring, the generator is used for generating a clear image, the discriminator is used for distinguishing a real and clear image from a fake or blurred image, a feature pyramid network is introduced into the generator part, the feature reuse structure can greatly reduce calculation time and model size, the structure allows different CNN backbone networks to be used, the result of which is scalable in calculation amount is used, a PatchGAN discriminator in the deblurGAN is reserved in the discriminator part, the image Patch is discriminated, and a global discriminator is also introduced, namely a double-scale discriminator, and the blurring of the image is processed.
The multi-source database comprises various parameter data of high-quality and low-quality cement concrete, and specifically comprises the size and shape frame characteristic models of the colors, big harmful bubbles, middle harmful bubbles, low harmful bubbles and beneficial bubbles of the high-quality and low-quality cement concrete, and the multi-source database is connected with a building material network to obtain the latest data and provide a data retrieval function. The bubbles generated in the concrete are called big harmful bubbles, medium harmful bubbles of 100-50 microns, low harmful bubbles or harmless bubbles of 50-20 microns, beneficial bubbles of 20 microns below, and the air content in the concrete is proper, the micro bubbles have certain stability in the concrete construction process under the conditions of uniform distribution and airtight independent, and in theory of the concrete structure, the gaps formed by the micro bubbles belong to capillary pore ranges or harmless pores or less harmful pores, so that the strength is not reduced, and the durability of the concrete is greatly improved.
The color analysis module extracts color characteristics of the slurry tiled surface image by utilizing an HOG characteristic extraction algorithm, the bubble analysis module comprises a parameter conversion module, a screening module and a measuring module, the parameter conversion module is used for stretching and vectorizing texture areas of the slurry tiled surface image to determine a shape frame of the area, the screening module is used for comparing the shape frame of the area with a shape frame characteristic model of bubbles in a multi-source database, the screening module is used for screening bubble images in the images, and the measuring module is used for carrying out equal proportion adjustment on the bubble images based on reality, then carrying out vectorization measurement and obtaining diameter values of the bubbles. Using the HOG feature extraction algorithm, an image (object or picture to be detected): graying (treating the image as a three-dimensional image of x, y, z (gray); performing color space standardization (normalization) on an input image by adopting a Gamma correction method; the purpose is to adjust the contrast of the image, reduce the influence caused by the shadow and illumination change of the image part, and inhibit the noise interference; calculating the gradient (including magnitude and direction) of each pixel of the image; the method is mainly used for capturing contour information and further weakening interference of illumination; dividing the image into small cells (e.g., 6*6 pixels/cells); counting the gradient histograms (the number of different gradients) of each cell to form a descriptor of each cell; every few cells are formed into a block (for example, 3*3 cells/block), and feature descriptors of all cells in the block are connected in series to obtain HOG feature descriptors of the block; the HOG feature descriptors of all blocks in the image are connected in series to obtain the HOG feature descriptors of the image (the object to be detected), which is the final feature vector for classification, so as to obtain the color feature.
The uniformity analysis module is used for comprehensively counting the diameter values of all bubbles in the image, so that the uniformity of the bubbles is judged according to the size data of different bubbles to reflect the bubble stabilizing effect of the cement concrete. The size of bubbles is uniform after the slurry flows out of the pipe, the bubble size is proper, the shape is round and smooth and glossy, the bubble quality is good, the bubble stabilizing effect is good, all parts are nearly the same after the bubbles come out, and the difference is not great.
The comparison module comprises a conclusion summarizing module and a report output module, wherein the conclusion summarizing module compares the color characteristics of the slurry tiled surface image with the color parameters of the high-quality and low-quality cement concrete in the multi-source database and judges the quality of the slurry; then comparing the shape frame of the bubble image in the slurry tiled surface image with the shape frame characteristic models of different bubbles in the multi-source database, and judging whether the bubbles on the slurry belong to bubbles with round shapes or abnormal-shaped bubbles; and then comparing the diameter value of the bubble in the slurry tiled surface image with the parameters of the bubble in the multi-source database, determining that the bubble belongs to one of large harmful bubbles, medium harmful bubbles, low harmful bubbles and beneficial bubbles, and generating a real-time monitoring report by a report output module through integrating the data analyzed by the conclusion summarizing module and the uniformity analysis module, and outputting the real-time monitoring report to a main control terminal. The color of the excellent concrete has extremely high similarity with the original concrete. Is generally substantially similar to the original concrete. And inferior is blushing and blackening. The high-quality concrete has uniform bubble size, proper bubble size and round and glossy shape.
Example two
According to the embodiment shown in fig. 1, an intelligent cement concrete mixing plant quality real-time monitoring system is provided, which comprises a collection center, an analysis center, a multi-source database and an intelligent control center, wherein the collection center comprises a sample image collection center and an image processing module, the analysis center comprises a color analysis module, a bubble analysis module, a uniformity analysis module and a comparison module, and the multi-source database comprises various parameter data of high-quality and low-quality cement concrete;
in the process that cement concrete slurry after being stirred in a cement concrete stirring station is discharged and falls into a container, a sample image acquisition center acquires images of the surface of a pavement of the cement concrete slurry flowing down, an image processing module is used for carrying out clear processing on the images, a color analysis module is used for analyzing color pixel characteristics of the images, a bubble analysis module screens out bubble images in the images based on bubble shape frame characteristics in a multi-source database, vectorization measurement is carried out on the bubble images in equal proportion to obtain diameter values of the bubbles, a uniformity analysis module is used for analyzing whether the sizes of the bubbles are uniform or not based on the bubble images analyzed by the bubble analysis module, and a comparison module is used for comparing the analyzed color pixel characteristics, the shape frame characteristics of the bubbles, the diameter values of the bubbles with parameter data of high-quality cement concrete in the multi-source database to determine quality. According to the invention, various parameter data of high-quality and low-quality cement concrete are stored through the multi-source database, color pixel characteristics of the image are analyzed by collecting images of the surface of the paved cement concrete slurry flowing down, bubble images in the image are screened out, diameter values of the bubbles are obtained, whether the sizes of the bubbles are uniform or not is analyzed, the quality is determined by comparing the images with the parameter data of the high-quality cement concrete in the multi-source database, and the quality evaluation is conveniently and rapidly carried out only by shooting the images through a camera in the whole detection process, so that the quality control in real time is facilitated, and convenience is provided for production.
The acquisition center, the analysis center, the multi-source database and the intelligent control center are all based on Windows systems, and a computer is used as a main control terminal. The main control terminal is provided with a display for displaying monitoring data.
The intelligent control center comprises a conclusion receiving module and a flow tracing module, wherein the conclusion receiving module receives the data result of the determined cement concrete quality, and when the quality is determined to be unqualified, the flow tracing module is connected with all equipment operation logs of a cement concrete mixing plant, acquires quality control items and indexes of the mixture in the cement concrete production batch, outputs the quality control items and indexes to the main control terminal and screens the problems. When the quality is determined to be unqualified, the invention is connected with all equipment operation logs of the cement concrete mixing plant, obtains quality control items and indexes of the mixture in the cement concrete production batch, and screens the problems more intelligently.
The intelligent cement concrete mixing station quality real-time monitoring system stores various parameter data of high-quality and low-quality cement concrete through the multi-source database, analyzes color pixel characteristics of the image, screens out bubble images in the image, obtains diameter values of the bubbles, analyzes whether the sizes of the bubbles are uniform or not by collecting images of the surface of the cement concrete slurry in a running mode, compares the parameters with the parameter data of the high-quality cement concrete in the multi-source database, determines the quality, only needs a camera to shoot the image in the whole detection process, conveniently and rapidly carries out quality assessment, is favorable for carrying out quality control in real time, and provides convenience for production. The color characteristics of the slurry tiled surface image and the color parameters of high-quality and low-quality cement concrete in the multi-source database are compared, the color quality of the slurry is judged, the shape frame of the bubble image in the image and the shape frames of different bubbles in the multi-source database are compared, whether the bubbles on the slurry belong to the bubbles with round shapes or the special-shaped bubbles is judged, the diameter value of the bubbles in the image and the parameters of the bubbles in the multi-source database are compared, whether the bubbles are big-pest bubbles, middle-pest bubbles, low-pest bubbles and beneficial bubbles or not is determined, the uniformity of the bubbles is judged, and the foam stabilizing effect of the cement concrete is reflected, so that the quality of the cement concrete is comprehensively judged, and the detection and evaluation are more accurate. Meanwhile, when the quality is determined to be unqualified, the method is connected with all equipment operation logs of the cement concrete mixing plant, quality control items and indexes of the mixture in the cement concrete production batch are obtained, and screening problems are more intelligent.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides an intelligent cement concrete mixing plant quality real-time monitoring system, includes collection center, analysis center, multisource database and intelligent control center, its characterized in that: the acquisition center comprises a sample image acquisition center and an image processing module, the analysis center comprises a color analysis module, a bubble analysis module, a uniformity analysis module and a comparison module, and the multi-source database comprises various parameter data of high-quality and low-quality cement concrete;
in the process that cement concrete slurry after being stirred in a cement concrete stirring station is discharged and falls into a container, a sample image acquisition center acquires images of the surface of a pavement of the cement concrete slurry flowing down, an image processing module is used for carrying out clear processing on the images, a color analysis module is used for analyzing color pixel characteristics of the images, a bubble analysis module screens out bubble images in the images based on bubble shape frame characteristics in a multi-source database, vectorization measurement is carried out on the bubble images in equal proportion to obtain diameter values of the bubbles, a uniformity analysis module is used for analyzing whether the sizes of the bubbles are uniform or not based on the bubble images analyzed by the bubble analysis module, and a comparison module is used for comparing the analyzed color pixel characteristics, the shape frame characteristics of the bubbles, the diameter values of the bubbles with parameter data of high-quality cement concrete in the multi-source database to determine quality.
2. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 1, wherein: the acquisition center, the analysis center, the multi-source database and the intelligent control center are all based on Windows systems, and a computer is used as a main control terminal.
3. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 2, wherein: the sample image acquisition center comprises a camera, a timing acquisition module and a communication transmission module, wherein the camera is positioned on the operation site of the mixing station, the timing acquisition module drives the camera to operate when each batch of mixing is completed to discharge, and the images of the surface of the paved cement concrete slurry flowing down are acquired in the process that the cement concrete slurry after being mixed in the cement concrete mixing station is discharged and falls into a container.
4. A real-time monitoring system for intelligent cement concrete mixing plant quality according to claim 3, wherein: the communication transmission module establishes a hub center connected with the network of the main control terminal on site, analyzes, processes and classifies the image data uploaded by the camera, matches with an analysis protocol of the main control terminal, and transmits the image data to the main control terminal.
5. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 4, wherein: the image processing module comprises a noise reduction module and a definition module, the noise reduction module adopts an airspace pixel characteristic noise reduction algorithm to reduce noise of the three-view image of the instrument, and the definition module increases the definition of the slurry tiled surface image through a frame Deblu GGAN-v 2.
6. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 5, wherein: the multi-source database comprises various parameter data of high-quality and low-quality cement concrete, and specifically comprises the size and shape frame characteristic models of the colors, big harmful bubbles, middle harmful bubbles, low harmful bubbles and beneficial bubbles of the high-quality and low-quality cement concrete, and the multi-source database is connected with a building material network to obtain the latest data and provide a data retrieval function.
7. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 6, wherein: the color analysis module extracts color characteristics of the slurry tiled surface image by utilizing an HOG characteristic extraction algorithm, the bubble analysis module comprises a parameter conversion module, a screening module and a measuring module, the parameter conversion module is used for stretching and vectorizing texture areas of the slurry tiled surface image to determine a shape frame of the area, the screening module is used for comparing the shape frame of the area with a shape frame characteristic model of bubbles in a multi-source database, the screening module is used for screening bubble images in the images, and the measuring module is used for carrying out equal proportion adjustment on the bubble images based on reality, then carrying out vectorization measurement and obtaining diameter values of the bubbles.
8. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 7, wherein: the uniformity analysis module is used for comprehensively counting the diameter values of all bubbles in the image, so that the uniformity of the bubbles is judged according to the size data of different bubbles to reflect the bubble stabilizing effect of the cement concrete.
9. The intelligent cement concrete mixing plant quality real-time monitoring system according to claim 8, wherein: the comparison module comprises a conclusion summarizing module and a report output module, wherein the conclusion summarizing module compares the color characteristics of the slurry tiled surface image with the color parameters of the high-quality and low-quality cement concrete in the multi-source database and judges the quality of the slurry; then comparing the shape frame of the bubble image in the slurry tiled surface image with the shape frame characteristic models of different bubbles in the multi-source database, and judging whether the bubbles on the slurry belong to bubbles with round shapes or abnormal-shaped bubbles; and then comparing the diameter value of the bubble in the slurry tiled surface image with the parameters of the bubble in the multi-source database, determining that the bubble belongs to one of large harmful bubbles, medium harmful bubbles, low harmful bubbles and beneficial bubbles, and generating a real-time monitoring report by a report output module through integrating the data analyzed by the conclusion summarizing module and the uniformity analysis module, and outputting the real-time monitoring report to a main control terminal.
10. The intelligent cement concrete mixing plant quality real-time monitoring system according to any one of claims 1-8, wherein: the intelligent control center comprises a conclusion receiving module and a flow tracing module, wherein the conclusion receiving module receives the data result of the determined cement concrete quality, and when the quality is determined to be unqualified, the flow tracing module is connected with all equipment operation logs of a cement concrete mixing plant, acquires quality control items and indexes of the mixture in the cement concrete production batch, outputs the quality control items and indexes to the main control terminal and screens the problems.
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